招聘 | 新加坡国立大学Urban Analytics Lab招聘GIS方向博士后

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招聘简介

学校院系：新加坡国立大学

合作导师：Filip Biljecki 助理教授

招收类型：博士后（GIS方向）

入职时间：尽快入职

申请截止日期：尽快申请

一、招收说明

新加坡国立大学（National University of Singapore）设计与工程学院（College of Design and Engineering）在招聘一名GIS方向的博后参与到BEAM研究项目中。BEAM的全称是Baselining, Evaluating, Action, And Monitoring NUS Kent Ridge Campus。该博后的主要工作内容是搭建 NUS Kent Ridge校园的Digital Twin和环境监控评估平台。该博后将加入建筑系助理教授Filip Biljecki所在NUS Urban Analytics Lab。

PI及项目组的相关信息：

Prof Filip Biljecki NUS主页

https://cde.nus.edu.sg/arch/staffs/filip-biljecki/

Prof Filip Biljecki 领英主页

https://www.linkedin.com/in/filipbiljecki/

Urban Analytics Lab 领英主页

https://www.linkedin.com/company/urban-analytics-lab/

招聘 | 新加坡国立大学Urban Analytics Lab招聘GIS方向博士后

二、职位描述

BEAM initiative is a collaborative effort launched by National University of Singapore (NUS) as part of Sustainability and Climate Change Action Plan 2030. Specifically, this project focuses on developing a climate resilient campus to improve thermal comfort and mitigate urban heat island (UHI) effect. The Department of the Built Environment at the National University of Singapore (NUS) is seeking a Research Fellow (PhD holder) to join the group and spearhead digital twin research work.

三、工作范围

1. The candidates shall work under the supervision of the Principal Investigator (PI) and Co-PIs to conduct academic research and/or administrative work;

2. Design and conduct research studies; manage collaboration with other researchers and coordination;

3. Conduct literature review on appropriate topics related to the project;

4. Preparation of publications and managing other forms of research output such as software and data;

5. Attending and following meetings and discussions with various stakeholders;

6. Write research papers and reports.

四、专业背景和技能要求

1. PhD in relevant disciplines: Geospatial technologies, GIS, Digital twins, urban data science, etc.;

2. Proficiency in one or more of the following areas: programming, spatial analysis/GIS, Geomatics, 3D city modelling, urban planning, and/or urban simulations;

3. Knowledge and experience in Artificial Intelligence/Machine Learning is an advantage;

4. Experience in coding/software development is required.

五、学术工作能力

1. A track record in publications commensurate with distance from PhD;

2. PhD holders with no experience are welcome to apply;

3. A strong team player who can multitask and work effectively as a team;

4. Ability to conduct research independently;

5. A track record of interdisciplinary research will be evaluated positively.

六、申请方式

该职位的官方申请入口如下：

https://careers.nus.edu.sg/NUS/job/Kent-Ridge-Research-Fellow-%28Urban-Microclimate-and-Digital-Twin%29-Kent/9747444/

有兴趣的同学，也可以直接email联系 Dr. Marcel Ignatius ([email protected]) 或项目 PI Asst. Prof Filip Biljecki ([email protected])。